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This paper aims to study Irreversible conversion processes, which examine the spread of a one way change of state (from state 0 to state 1) through a specified society (the spread of disease through populations, the spread of opinion through social networks, etc.) where the conversion rule is determined at the beginning of the study. These processes can be modeled into graph theoretical models where the vertex set V(G) represents the set of individuals on which the conversion is spreading.

The irreversible k-threshold conversion process on a graph G=(V,E) is an iterative process which starts by choosing a set S_0?V, and for each step t (t = 1, 2,…,), S_t is obtained from S_(t−1) by adjoining all vertices that have at least k neighbors in S_(t−1). S_0 is called the seed set of the k-threshold conversion process and is called an irreversible k-threshold conversion set (IkCS) of G if S_t = V(G) for some t = 0. The minimum cardinality of all the IkCSs of G is referred to as the irreversible k-threshold conversion number of G and is denoted by C_k (G).

In this paper the authors determine C_k (G) for generalized Jahangir graph J_(s,m) for 1 < k = m and s, m are arbitraries. The authors also determine C_k (G) for strong grids P_2? P_n when k = 4, 5. Finally, the authors determine C_2 (G) for P_n? P_n when n is arbitrary.

This work is 100% original and has important use in real life problems like Anti-Bioterrorism.

It has been suggested that homicides in Jamaica are partly driven by conflicts among criminals over funds coming from international lottery scams; most of these funds are channeled into the country via remittances. This study aims to determine the empirical relationship between remittances and homicides in Jamaica over the period 1985–2019.

The authors apply an error correction modelling framework while accounting for indicators of changes in socioeconomic conditions.

There are two. First, the authors find from impulse response analysis of the long-run dynamics that an increase in remittances is associated with an increase in homicides, and vice versa. Second, the authors find that there is bidirectional Granger causality between remittances and homicides in the short run.

Two important implications are that policies should be strengthened to channel remittances to productive and legal investment opportunities and that greater efforts may be needed to stem the flow of funds coming from international lottery scamming and other illegal activities.

This is the first study that examines the dynamic relationship between remittances and homicides in Jamaica from a robust statistical perspective.

Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.

By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.

The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.

While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.

The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.

Learning outcomes can only be achieved through using case-based pedagogy. Instructors must encourage students to dive deeply into the case dilemma, so they are able to engage with the case objectives and questions, applying the appropriate theory. By doing so, students can provide solutions based on five core objectives. These are the objectives that students should learn after completing the case discussion: ■ Critique the marketing activities for implications of global branding. ■ Understand the turnaround strategies in the context of the digital economy and COVID-19 crisis to build a global brand and drive B2C customers from awareness and advocacy. ■ Suggest a map of traditional and digital marketing strategies to enhance the company’s efficiency and effectiveness. ■ Discuss the three main sources of influence marketers can implement to drive customers from awareness to advocacy across the customers’ path. ■ Discuss the application of the UN 17 SDGs practices in today’s fashion industry.

In 2018, Ali El Nawawi and Mai Kassem decided to start up the Scarabaeus Sacer brand to take their passion for social and human development and create ethical fashion streetwear. Scarabaeus Sacer was an Egyptian brand that sold 100% organic Egyptian cotton fashionable streetwear, and the core mission of the fledgling company was “promoting Egyptian organic cotton textiles with a premium quality globally” (Al Nawawi, 2021). While Scarabaeus was mainly guided by the well-being, sustainability, and mental health goals of the UN Sustainable Development Goals (SDGs) numbers 3, 8, 11 and 12 (good health and well-being; decent work and economic growth; sustainable cities and communities; and responsible consumption and production), their position as an advocacy brand was only beginning to be understood by their customers in Egypt. With the rapid increase of e-commerce during the COVID-19 crisis and their previous international experience, the co-founders wanted to achieve their mission of building a global brand that promotes Egyptian organic cotton and sustainability while offering unique designs of fashionable streetwear. To achieve this mission, the co-founders El Nawawi and Kassem faced major decisions related to marketing strategies at the beginning of 2020. These included how to build global brand awareness and brand advocacy for well-being, sustainability and mental health with a special focus on penetrating new markets (namely, Europe and the USA) to stock their products on e-commerce platforms and advocating their cause and increase their sales.

This case is suitable for graduate-level marketing courses in which it allows students to engage with classical marketing strategies, digital marketing, global branding, communication, media and sales within a management framework.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

This paper examined the relationships between national culture and strategic behavior in the banking industry in Jordan and U.S. The study first developed a strategic posture and secondly a cultural profile for the top management of the research domain. The strategic posture suggested the readiness for strategic response from managers. The degree of readiness was correlated with the constructed cultural profile of the managers and financial performance of the banks. The study found significant relationships between certain national cultural strategic characteristics, (risk propensity, time orientation, and openness to change, uncertainty avoidance and managerial perception of control over the environment) strategic behavior and financial performance.

This study aims to examine the factors that influence end users’ intention to adopt open government data (OGD) portals, envisioning this relationship through a path causal model.

The study surveyed 696 Qataris and 730 white-collar expatriates using a questionnaire. The Kaiser–Meyer–Olkin measure of sample adequacy and Bartlett’s test of sphericity were used to determine the questionnaire’s construct validity.

The multiple regression analysis revealed that previous experience in using OGD portals, perceived usefulness and ease of use of OGD portals, marital status, age and attitude toward using OGD portals significantly predicted the intention to adopt OGD portals. Moreover, age and marital status significantly affected the intention to adopt OGD portals. The outcomes of the path causal model show that the direct effects of each explanatory variable are enhanced by the effects of the other independent variables in the causal model.

The study pioneers the application of the Technology Acceptance Model (TAM) to analyze motivating factors for Qatari residents to adopt OGD portals. Using this framework can help policymakers build strategies to boost the use of OGD portals in Qatar.

To the best of the authors’ knowledge, the TAM has never been examined in the Qatari setting to analyze the adoption of OGD portals. The present study fills knowledge gaps about and offers a clearer understanding of the elements influencing the adoption of OGD portals.

This paper aims to identify the unidimensionality and reliability of 84 factors that influence the performance of construction projects and develop a confirmatory factor analysis (CFA) model.

The study adopted a deductive research approach and started by identifying the positive factors that influence construction project performance. This was followed by the modification of the identified factors. After that, a questionnaire was developed out of the factors for data collection. Exploratory factor analysis was used to establish the factor structure of the positive factors, and this was verified using CFA afterwards. A model fit analysis was performed to determine the goodness of fit of the hypothesised model, followed by the development of the confirmatory model.

The study demonstrated substantial correlation in the data, sufficient unidimensionality and internal reliability. In addition, the estimated fit indices suggested that the postulated model adequately described the sample data.

The paper revealed that performance can be enhanced if stakeholders identify and leverage the positive factors influencing performance. The paper suggests that project stakeholders, particularly government, project owners, consultants and construction firms, can improve project performance by critically examining economic and financial systems (EFS), regulation and policy-making systems (RPS), effective management practices (EMP) and project implementation strategies (PIS).

The contribution of this paper to the present literature is identifying the positive factors and developing the confirmatory factor model. The model comprised 42 positive variables under four indicators: EMP, RPS, PIS and EFS.

The purpose of this paper is to study comparatively motivations for committing fraud in financial statements in two emerging markets including Iran and Iraq.

The research is a descriptive survey and statistical population consists of independent auditors. The field survey and questionnaire were used for data collection.

Findings can raise auditors’ awareness of management fraud motivations. It can help regulators and authorities in both countries as well as other emerging markets for establishing suitable rules and regulation.

This paper’s contribution was in identifying and comparing management’s motivations to commit financial reporting fraud in two emerging markets including Iraq and Iran.